The enemies of sustainable AI: Concept drift, data drift and algorithm drift

Back in 2019, Gartner predicted that the vast majority of AI projects would continue to fail: Only 53% of projects make it from prototypes to production, and 85% of those blow up. And yet, AI adoption has only accelerated. In an IBM study, 42% organizations reported they're exploring AI, and AI adoption is growing steadily, up four points from 2021. "Very few AI products become successful in creating value for companies, even though companies invest quite a lot of manpower and resources," says Ali Riza Kuyucu, global head of data and analytics at Blue.cloud. "But driving efficiencies through artificial intelligence requires constant monitoring and improvement, or what we call continuous AI -- keeping and sustaining the business value of AI for an organization over a longer period."